Computer-vision systems locate characteristic facial points in an image or across video frames. Their positions can support alignment, expression tracking and visual animation.
Landmark accuracy can change with pose, lighting, occlusion and image quality. Feature positions describe geometry and motion, not a person's identity or internal emotional state by themselves.
ELI5
Facial landmarks are reference points that help software follow a face's shape and movement. The points can move as someone turns or speaks.
For example, an animation tool follows points around the mouth to match a character's movement to a speaker. If the mouth is covered, tracking may become inaccurate and needs review.
Do landmarks establish a person's identity?
No. They describe feature locations; identity verification requires separate evidence and safeguards.
Can tracking fail across frames?
Yes. Motion, occlusion and poor image quality can disrupt consistent point detection.
